Overview
groq-pdf-chat is an interactive PDF chatbot built with Python and Streamlit. It lets users upload a document, ask questions in natural language, and receive answers grounded in the PDF's contents.
The application combines Groq Cloud and Llama 3 for fast inference with local Hugging Face embeddings for information retrieval. This design supports a conversational way to find information without manually searching through each page.
Key Features
- Answers questions based on the contents of an uploaded PDF.
- Uses Groq Cloud with Llama 3 for response generation.
- Creates local embeddings with Hugging Face for relevant retrieval.
- Provides a Streamlit interface designed for users with varied technical experience.
- Applies retrieval-augmented generation and vector database concepts to document chat.
How to Use
After installing and launching groq-pdf-chat, select a document with the Upload PDF control. Enter questions about that document in the chat interface, and the application retrieves relevant information before producing its response.
The listed system requirements are Windows 10, macOS, or Linux, at least 4 GB of RAM, 200 MB of available storage, and an internet connection for initial setup and updates.
Helpful Tips
Ask clear, specific questions to improve the relevance of answers. For best operation, use PDFs that are not password-protected or encrypted; different document types can also be tested to understand how retrieval performs across varied content.